We develop socio-technical and data-driven solutions to sustainability challenges facing the urban built environment

Latest Lab News

UIL work featured on HAI blog

UIL's work on using satellite imagery to quantify building energy usage was recently featured on Stanford's Human-Centered Artificial Intelligence (HAI) Institute.  Congrats to Tom who led this work!

*New Paper* published in Applied Energy!

In collaboration with Engie, we published a new paper "Optimizing pipe network design and central plant positioning of district heating and cooling System: A Graph-Based Multi-Objective genetic algorithm approach" in Applied Energy. Congrats to the whole team!  (Note the above link is valid until October 28, 2022 for free access. Please use the link from the publications page after this date.)

*New Paper* in Nature Scientific Data

We were part of a large-scale effort led by Prof. Bing Dong (Syracuse) to curate A Global Building Occupant Behavior Database that was recenlty published in Nature Scientific Data. Congrats to the team that spanned 15 countries! 

City sketch by Andrew Sonta